Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.3 * weight - 16
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Delgado
2
64 kgMujika
5
73 kgMejia
7
63 kgRominger
8
65 kgInduráin
12
76 kg
2
64 kgMujika
5
73 kgMejia
7
63 kgRominger
8
65 kgInduráin
12
76 kg
Weight (KG) →
Result →
76
63
2
12
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | DELGADO Pedro | 64 |
| 5 | MUJIKA Jokin | 73 |
| 7 | MEJIA Alvaro | 63 |
| 8 | ROMINGER Tony | 65 |
| 12 | INDURÁIN Miguel | 76 |